Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch

Michaela Black, Jonathan Wallace, Debbie Rankin, Paul Carlin, Raymond Bond, Maurice Mulvenna, Brian Cleland, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula, Regina Connolly

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.
Original languageEnglish
Title of host publicationIEEE 32nd International Symposium on Computer-Based Medical Systems
Subtitle of host publicationCBMS 2019
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages104-105
Number of pages2
ISBN (Electronic)978-117281-2286-1
ISBN (Print)978-1-7281-2287-8
DOIs
Publication statusPublished - Jun 2019
MoE publication typeA4 Article in a conference publication
Event32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019: CBMS 2019 - Cordoba, Spain
Duration: 5 Jun 20197 Jun 2019

Publication series

SeriesIEEE International Symposium on Computer-Based Medical Systems
ISSN2372-918X

Conference

Conference32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019
CountrySpain
CityCordoba
Period5/06/197/06/19

Keywords

  • Big data
  • Data analytics
  • Health policy
  • User-centred design
  • Visualisation

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  • Cite this

    Black, M., Wallace, J., Rankin, D., Carlin, P., Bond, R., Mulvenna, M., Cleland, B., Fischaber, S., Epelde, G., Nikolic, G., Pajula, J., & Connolly, R. (2019). Meaningful integration of data, analytics and services of computer-based medical systems: The MIDAS touch. In IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019 (pp. 104-105). [8787457] IEEE Institute of Electrical and Electronic Engineers. IEEE International Symposium on Computer-Based Medical Systems https://doi.org/10.1109/CBMS.2019.00031